Data & AI Engineer

Arizent•New York, NY

1d•$100,000 - $125,000

About The Position

Arizent is seeking a Data & AI Engineer to accelerate the adoption of AI and shape how the company uses data and AI across its business. This role will involve building and deploying AI, data, and agentic solutions on platforms like Google Gemini and Claude, designing and maintaining data pipelines for reporting, and collaborating with teams across Sales, Marketing, Editorial, and Finance to leverage data for decision-making. The position reports directly to the Senior Director of Data and AI.

Requirements

1+ years of experience in a data engineering, analytics engineering, and/or AI/ML engineering role.
Proficiency in SQL and Python.
Hands-on experience building agentic solutions, including prompt engineering, tool/function calling, and deploying agents in production using platforms like Google Gemini, Claude, or comparable LLM ecosystems.
Experience designing and building ETL pipelines and integrating multiple data sources.
Strong working knowledge of the Google Cloud ecosystem, especially BigQuery.
Dashboarding experience with Data Studio or a comparable BI tool.
Demonstrated ability to collaborate cross-functionally and translate business needs into technical solutions.
Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.
Experience with Agent Development Kit (ADK) or other multi-agent orchestration frameworks.

Nice To Haves

Familiarity with Matillion or comparable ETL/ELT tooling.
Experience with Omeda, Salesforce, Piano, or similar marketing/audience platforms.
Prior experience in media, publishing, or B2B information services.
Experience designing data models and warehouse schemas from scratch.

Responsibilities

Build and deploy agentic solutions on Google Gemini and Claude, including no-code/low-code workflows and multi-agent systems using Agent Development Kit (ADK).
Partner with Arizent teams to identify business needs that can be addressed by agents, developing solutions from mapping to building, testing, agent training, and end-user enablement.
Maintain and continuously test deployed agents for reliability, accuracy, and performance.
Collaborate with internal stakeholders and vendors to forecast and measure the impact of agentic solutions (cost savings, time savings, quality improvements).
Support the Senior Manager of Data & AI in maintaining the BigQuery data warehouse, adhering to workflows and governance practices.
Design, build, and manage ETL pipelines integrating Omeda, Salesforce, Google Analytics, and third-party services.
Set up and manage scheduled queries for dashboards and downstream systems.
Support audience enrichment, lead and contact enrichment, and internal/external reporting workflows.
Troubleshoot site traffic tracking and data collection issues across Google Analytics, Omeda, Piano, and Salesforce.
Build alerts and monitoring dashboards to identify tracking issues.
Develop and maintain internal and client-facing dashboards in Data Studio.